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dc.contributor.authorMcInnis, M. L.
dc.contributor.authorLarson, L. L.
dc.contributor.authorVavra, M.
dc.date.accessioned2020-09-24T02:41:46Z
dc.date.available2020-09-24T02:41:46Z
dc.date.issued1990-05-01
dc.identifier.citationMcInnis, M. L., Larson, L. L., & Vavra, M. (1990). Technical notes: Classifying herbivore diets using hierarchical cluster analysis. Journal of Range Management, 43(3), 271-274.
dc.identifier.issn0022-409X
dc.identifier.doi10.2307/3898688
dc.identifier.urihttp://hdl.handle.net/10150/644945
dc.description.abstractHypotheses are frequently posed that require comparisons among diet samples. Hierarchical cluster analysis is suited to this task, but has received little attention in food habits research. By grouping samples so that similar diets are close together and dissimilar diets are spaced farther apart, hierarchical cluster analysis reveals patterns in data difficult to recognize in the matrix of similarity coefficients typical of most food habits studies. We provide an example of this type of analysis, and indicate its application to management of large herbivores.
dc.language.isoen
dc.publisherSociety for Range Management
dc.relation.urlhttps://rangelands.org/
dc.rightsCopyright © Society for Range Management.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectcluster analysis
dc.subjectfeeding habits
dc.subjecthorses
dc.subjectAntilocapra americana
dc.subjectherbivores
dc.subjectdiet studies
dc.subjectcattle
dc.subjectseasonal variation
dc.titleTechnical Notes: Classifying herbivore diets using hierarchical cluster analysis
dc.typetext
dc.typeArticle
dc.identifier.journalJournal of Range Management
dc.description.noteThis material was digitized as part of a cooperative project between the Society for Range Management and the University of Arizona Libraries.
dc.description.collectioninformationThe Journal of Range Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information.
dc.eprint.versionFinal published version
dc.description.admin-noteMigrated from OJS platform August 2020
dc.source.volume43
dc.source.issue3
dc.source.beginpage271-274
refterms.dateFOA2020-09-24T02:41:46Z


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